{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:20.090674Z",
     "iopub.status.busy": "2021-04-14T22:11:20.089957Z",
     "iopub.status.idle": "2021-04-14T22:11:20.956188Z",
     "shell.execute_reply": "2021-04-14T22:11:20.954708Z"
    },
    "papermill": {
     "duration": 0.891444,
     "end_time": "2021-04-14T22:11:20.956310",
     "exception": false,
     "start_time": "2021-04-14T22:11:20.064866",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import random\n",
    "import itertools\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import *\n",
    "from tensorflow.keras.layers import *\n",
    "from tensorflow.keras.callbacks import *\n",
    "from tensorflow.keras.optimizers import *\n",
    "from tensorflow.keras.applications import VGG16, VGG19, ResNet50\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "from tensorflow.keras.applications.vgg16 import preprocess_input as process_vgg16\n",
    "from tensorflow.keras.applications.vgg19 import preprocess_input as process_vgg19\n",
    "from tensorflow.keras.applications.resnet50 import preprocess_input as process_resnet\n",
    "\n",
    "import cv2\n",
    "\n",
    "from sklearn.metrics import classification_report, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:21.001150Z",
     "iopub.status.busy": "2021-04-14T22:11:20.999414Z",
     "iopub.status.idle": "2021-04-14T22:11:21.001841Z",
     "shell.execute_reply": "2021-04-14T22:11:21.002322Z"
    },
    "papermill": {
     "duration": 0.030412,
     "end_time": "2021-04-14T22:11:21.002441",
     "exception": false,
     "start_time": "2021-04-14T22:11:20.972029",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm, classes, title='Confusion matrix', cmap=plt.cm.Blues):\n",
    "\n",
    "    cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title, fontsize=25)\n",
    "    #plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=90, fontsize=15)\n",
    "    plt.yticks(tick_marks, classes, fontsize=15)\n",
    "\n",
    "    fmt = '.2f'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, format(cm[i, j], fmt),\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\", fontsize = 14)\n",
    "\n",
    "    plt.ylabel('True label', fontsize=20)\n",
    "    plt.xlabel('Predicted label', fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:21.048091Z",
     "iopub.status.busy": "2021-04-14T22:11:21.047060Z",
     "iopub.status.idle": "2021-04-14T22:11:21.084260Z",
     "shell.execute_reply": "2021-04-14T22:11:21.085447Z"
    },
    "papermill": {
     "duration": 0.068194,
     "end_time": "2021-04-14T22:11:21.085642",
     "exception": false,
     "start_time": "2021-04-14T22:11:21.017448",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "### DEFINE SOME PARAMETERS ###\n",
    "\n",
    "base_path = \"../input/split-garbage-dataset/split-garbage-dataset/\"\n",
    "labels = os.listdir(base_path + \"train/\")\n",
    "SHAPE = (224,224,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:21.157943Z",
     "iopub.status.busy": "2021-04-14T22:11:21.157071Z",
     "iopub.status.idle": "2021-04-14T22:11:24.088406Z",
     "shell.execute_reply": "2021-04-14T22:11:24.088932Z"
    },
    "papermill": {
     "duration": 2.97384,
     "end_time": "2021-04-14T22:11:24.089092",
     "exception": false,
     "start_time": "2021-04-14T22:11:21.115252",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x504 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT SAMPLE IMAGES ###\n",
    "\n",
    "f, axes = plt.subplots(2, 3, sharex=True, sharey=True, figsize = (16,7))\n",
    "\n",
    "for ax, label in zip(axes.ravel(), labels):\n",
    "    img = np.random.choice(os.listdir(base_path + \"train/\" + label))\n",
    "    img = cv2.imread(base_path + \"train/\" + label + \"/\" + img)\n",
    "    img = cv2.resize(img, SHAPE[:2])\n",
    "    ax.imshow(cv2.cvtColor(img, cv2.COLOR_BGRA2RGB))\n",
    "    ax.set_title(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:24.137621Z",
     "iopub.status.busy": "2021-04-14T22:11:24.136844Z",
     "iopub.status.idle": "2021-04-14T22:11:24.139394Z",
     "shell.execute_reply": "2021-04-14T22:11:24.139860Z"
    },
    "papermill": {
     "duration": 0.029233,
     "end_time": "2021-04-14T22:11:24.139974",
     "exception": false,
     "start_time": "2021-04-14T22:11:24.110741",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "### CREATE EMPTY GENERATORS ###\n",
    "\n",
    "train_datagen = ImageDataGenerator(\n",
    "        rotation_range = 20,\n",
    "        width_shift_range = 0.2,\n",
    "        height_shift_range = 0.2,\n",
    "        horizontal_flip = True,\n",
    "        vertical_flip = True,\n",
    "        fill_mode='nearest'\n",
    ")\n",
    "\n",
    "validation_datagen = ImageDataGenerator()\n",
    "test_datagen = ImageDataGenerator()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:24.189044Z",
     "iopub.status.busy": "2021-04-14T22:11:24.188445Z",
     "iopub.status.idle": "2021-04-14T22:11:24.624875Z",
     "shell.execute_reply": "2021-04-14T22:11:24.624148Z"
    },
    "papermill": {
     "duration": 0.464137,
     "end_time": "2021-04-14T22:11:24.625021",
     "exception": false,
     "start_time": "2021-04-14T22:11:24.160884",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1768 images belonging to 6 classes.\n",
      "Found 328 images belonging to 6 classes.\n",
      "Found 431 images belonging to 6 classes.\n"
     ]
    }
   ],
   "source": [
    "### FLOW GENERATORS ###\n",
    "\n",
    "train_batch_size = 32\n",
    "val_batch_size = 32\n",
    "\n",
    "train_generator = train_datagen.flow_from_directory(\n",
    "            base_path + '/train',\n",
    "            target_size = (SHAPE[0], SHAPE[1]),\n",
    "            batch_size = train_batch_size,\n",
    "            class_mode = 'categorical',\n",
    "            shuffle = True\n",
    ")\n",
    "\n",
    "validation_generator = validation_datagen.flow_from_directory(\n",
    "            base_path + '/valid',\n",
    "            target_size = (SHAPE[0], SHAPE[1]),\n",
    "            batch_size = val_batch_size,\n",
    "            class_mode = 'categorical',\n",
    "            shuffle = False\n",
    ")\n",
    "\n",
    "test_generator = test_datagen.flow_from_directory(\n",
    "            base_path + '/test',\n",
    "            target_size = (SHAPE[0], SHAPE[1]),\n",
    "            batch_size = val_batch_size,\n",
    "            class_mode = 'categorical',\n",
    "            shuffle = False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:24.674063Z",
     "iopub.status.busy": "2021-04-14T22:11:24.673486Z",
     "iopub.status.idle": "2021-04-14T22:11:29.848986Z",
     "shell.execute_reply": "2021-04-14T22:11:29.848417Z"
    },
    "papermill": {
     "duration": 5.202197,
     "end_time": "2021-04-14T22:11:29.849106",
     "exception": false,
     "start_time": "2021-04-14T22:11:24.646909",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(431,)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### RETRIVE TEST LABEL FROM GENERATOR ###\n",
    "\n",
    "test_num = test_generator.samples\n",
    "\n",
    "label_test = []\n",
    "for i in range((test_num // test_generator.batch_size)+1):\n",
    "    X,y = test_generator.next()\n",
    "    label_test.append(y)\n",
    "        \n",
    "label_test = np.argmax(np.vstack(label_test), axis=1)\n",
    "\n",
    "label_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:29.902808Z",
     "iopub.status.busy": "2021-04-14T22:11:29.902210Z",
     "iopub.status.idle": "2021-04-14T22:11:29.904901Z",
     "shell.execute_reply": "2021-04-14T22:11:29.905338Z"
    },
    "papermill": {
     "duration": 0.033423,
     "end_time": "2021-04-14T22:11:29.905456",
     "exception": false,
     "start_time": "2021-04-14T22:11:29.872033",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def set_seed(seed):\n",
    "    \n",
    "    tf.random.set_seed(seed)\n",
    "    os.environ['PYTHONHASHSEED'] = str(seed)\n",
    "    np.random.seed(seed)\n",
    "    random.seed(seed)\n",
    "\n",
    "def import_base_model(SHAPE):\n",
    "\n",
    "    vgg16 = VGG16(weights = 'imagenet', include_top = False, input_shape = SHAPE)\n",
    "    vgg19 = VGG19(weights = 'imagenet', include_top = False, input_shape = SHAPE)\n",
    "    resnet = ResNet50(weights = 'imagenet', include_top = False, input_shape = SHAPE)\n",
    "\n",
    "    for layer in vgg16.layers[:-4]:\n",
    "        layer.trainable = False\n",
    "\n",
    "    for layer in vgg19.layers[:-5]:\n",
    "        layer.trainable = False\n",
    "\n",
    "    for layer in resnet.layers[:-10]:\n",
    "        layer.trainable = False\n",
    "        \n",
    "    return vgg16, vgg19, resnet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.022584,
     "end_time": "2021-04-14T22:11:29.950066",
     "exception": false,
     "start_time": "2021-04-14T22:11:29.927482",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# CONCATENATION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:29.999586Z",
     "iopub.status.busy": "2021-04-14T22:11:29.999031Z",
     "iopub.status.idle": "2021-04-14T22:11:39.982439Z",
     "shell.execute_reply": "2021-04-14T22:11:39.981777Z"
    },
    "papermill": {
     "duration": 10.010092,
     "end_time": "2021-04-14T22:11:39.982554",
     "exception": false,
     "start_time": "2021-04-14T22:11:29.972462",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "58892288/58889256 [==============================] - 0s 0us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg19/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "80142336/80134624 [==============================] - 1s 0us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "94773248/94765736 [==============================] - 1s 0us/step\n"
     ]
    }
   ],
   "source": [
    "### GET PRETRAINED MODELS ###\n",
    "\n",
    "vgg16, vgg19, resnet = import_base_model(SHAPE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:11:40.071803Z",
     "iopub.status.busy": "2021-04-14T22:11:40.067502Z",
     "iopub.status.idle": "2021-04-14T22:24:21.293037Z",
     "shell.execute_reply": "2021-04-14T22:24:21.292058Z"
    },
    "papermill": {
     "duration": 761.273776,
     "end_time": "2021-04-14T22:24:21.293145",
     "exception": false,
     "start_time": "2021-04-14T22:11:40.019369",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "56/55 [==============================] - 53s 947ms/step - loss: 3.8443 - accuracy: 0.5730 - val_loss: 1.1178 - val_accuracy: 0.7409\n",
      "Epoch 2/50\n",
      "56/55 [==============================] - 36s 639ms/step - loss: 0.7241 - accuracy: 0.7986 - val_loss: 0.6174 - val_accuracy: 0.8415\n",
      "Epoch 3/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.5227 - accuracy: 0.8462 - val_loss: 0.6217 - val_accuracy: 0.8445\n",
      "Epoch 4/50\n",
      "56/55 [==============================] - 36s 649ms/step - loss: 0.3705 - accuracy: 0.8914 - val_loss: 0.5366 - val_accuracy: 0.8598\n",
      "Epoch 5/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.2587 - accuracy: 0.9270 - val_loss: 0.5342 - val_accuracy: 0.8720\n",
      "Epoch 6/50\n",
      "56/55 [==============================] - 35s 633ms/step - loss: 0.1862 - accuracy: 0.9316 - val_loss: 0.4376 - val_accuracy: 0.8872\n",
      "Epoch 7/50\n",
      "56/55 [==============================] - 35s 633ms/step - loss: 0.1693 - accuracy: 0.9423 - val_loss: 0.5065 - val_accuracy: 0.8780\n",
      "Epoch 8/50\n",
      "56/55 [==============================] - 36s 636ms/step - loss: 0.1407 - accuracy: 0.9531 - val_loss: 0.6352 - val_accuracy: 0.8659\n",
      "Epoch 9/50\n",
      "56/55 [==============================] - 36s 636ms/step - loss: 0.1364 - accuracy: 0.9519 - val_loss: 0.5146 - val_accuracy: 0.8811\n",
      "Epoch 10/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.1470 - accuracy: 0.9548 - val_loss: 0.5217 - val_accuracy: 0.9024\n",
      "Epoch 11/50\n",
      "56/55 [==============================] - 36s 639ms/step - loss: 0.1264 - accuracy: 0.9604 - val_loss: 0.6217 - val_accuracy: 0.8841\n",
      "Epoch 12/50\n",
      "56/55 [==============================] - 36s 645ms/step - loss: 0.1234 - accuracy: 0.9531 - val_loss: 0.6093 - val_accuracy: 0.8598\n",
      "Epoch 13/50\n",
      "56/55 [==============================] - 36s 640ms/step - loss: 0.0979 - accuracy: 0.9717 - val_loss: 0.3869 - val_accuracy: 0.9116\n",
      "Epoch 14/50\n",
      "56/55 [==============================] - 36s 645ms/step - loss: 0.0730 - accuracy: 0.9779 - val_loss: 0.5045 - val_accuracy: 0.8811\n",
      "Epoch 15/50\n",
      "56/55 [==============================] - 36s 647ms/step - loss: 0.1059 - accuracy: 0.9644 - val_loss: 0.4992 - val_accuracy: 0.8902\n",
      "Epoch 16/50\n",
      "56/55 [==============================] - 36s 636ms/step - loss: 0.0741 - accuracy: 0.9740 - val_loss: 0.6285 - val_accuracy: 0.8811\n",
      "Epoch 17/50\n",
      "56/55 [==============================] - 35s 633ms/step - loss: 0.0650 - accuracy: 0.9774 - val_loss: 0.5635 - val_accuracy: 0.8811\n",
      "Epoch 18/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.0582 - accuracy: 0.9830 - val_loss: 0.6099 - val_accuracy: 0.8689\n",
      "Epoch 19/50\n",
      "56/55 [==============================] - 36s 644ms/step - loss: 0.0808 - accuracy: 0.9774 - val_loss: 0.4473 - val_accuracy: 0.9055\n",
      "Epoch 20/50\n",
      "56/55 [==============================] - ETA: 0s - loss: 0.0695 - accuracy: 0.9762Restoring model weights from the end of the best epoch.\n",
      "56/55 [==============================] - 37s 666ms/step - loss: 0.0695 - accuracy: 0.9762 - val_loss: 0.7330 - val_accuracy: 0.8720\n",
      "Epoch 00020: early stopping\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x7fbbd021f510>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_seed(33)\n",
    "\n",
    "inp = Input((224,224,3))\n",
    "\n",
    "vgg_16_process = Lambda(process_vgg16)(inp)\n",
    "vgg_16 = vgg16(vgg_16_process)\n",
    "x_vgg_16 = GlobalMaxPool2D()(vgg_16)\n",
    "x_vgg_16 = Dense(128, activation='relu')(x_vgg_16)\n",
    "\n",
    "resnet_process = Lambda(process_resnet)(inp)\n",
    "res_net = resnet(resnet_process)\n",
    "x_resnet = GlobalMaxPool2D()(res_net)\n",
    "x_resnet = Dense(128, activation='relu')(x_resnet)\n",
    "\n",
    "vgg_19_process = Lambda(process_vgg19)(inp)\n",
    "vgg_19 = vgg19(vgg_19_process)\n",
    "x_vgg_19 = GlobalMaxPool2D()(vgg_19)\n",
    "x_vgg_19 = Dense(128, activation='relu')(x_vgg_19)\n",
    "\n",
    "x = Concatenate()([x_vgg_16, x_resnet, x_vgg_19])\n",
    "out = Dense(6, activation='softmax')(x)\n",
    "\n",
    "model = Model(inp, out)\n",
    "model.compile(loss='categorical_crossentropy', optimizer=Nadam(lr=1e-4), metrics='accuracy')\n",
    "\n",
    "es = EarlyStopping(monitor='val_accuracy', mode='auto', restore_best_weights=True, verbose=1, patience=7)\n",
    "model.fit(train_generator, steps_per_epoch = train_generator.samples/train_generator.batch_size,\n",
    "          epochs=50, validation_data=validation_generator, validation_steps = validation_generator.samples/validation_generator.batch_size, \n",
    "          callbacks=[es], verbose = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:24:21.996821Z",
     "iopub.status.busy": "2021-04-14T22:24:21.995788Z",
     "iopub.status.idle": "2021-04-14T22:24:27.376538Z",
     "shell.execute_reply": "2021-04-14T22:24:27.376035Z"
    },
    "papermill": {
     "duration": 5.733593,
     "end_time": "2021-04-14T22:24:27.376636",
     "exception": false,
     "start_time": "2021-04-14T22:24:21.643043",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "pred_test = np.argmax(model.predict(test_generator), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:24:28.081002Z",
     "iopub.status.busy": "2021-04-14T22:24:28.080434Z",
     "iopub.status.idle": "2021-04-14T22:24:28.091462Z",
     "shell.execute_reply": "2021-04-14T22:24:28.090782Z"
    },
    "papermill": {
     "duration": 0.365646,
     "end_time": "2021-04-14T22:24:28.091591",
     "exception": false,
     "start_time": "2021-04-14T22:24:27.725945",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       metal       0.97      0.90      0.93        70\n",
      "       glass       0.90      0.93      0.92        82\n",
      "       paper       0.84      0.91      0.87        68\n",
      "       trash       0.86      0.92      0.89       108\n",
      "   cardboard       0.86      0.84      0.85        74\n",
      "     plastic       0.90      0.66      0.76        29\n",
      "\n",
      "    accuracy                           0.88       431\n",
      "   macro avg       0.89      0.86      0.87       431\n",
      "weighted avg       0.89      0.88      0.88       431\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(label_test, pred_test, target_names=labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:24:28.803812Z",
     "iopub.status.busy": "2021-04-14T22:24:28.802972Z",
     "iopub.status.idle": "2021-04-14T22:24:29.228272Z",
     "shell.execute_reply": "2021-04-14T22:24:29.228705Z"
    },
    "papermill": {
     "duration": 0.782163,
     "end_time": "2021-04-14T22:24:29.228826",
     "exception": false,
     "start_time": "2021-04-14T22:24:28.446663",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnf_matrix = confusion_matrix(label_test, pred_test)\n",
    "\n",
    "plt.figure(figsize=(7,7))\n",
    "plot_confusion_matrix(cnf_matrix, classes=labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.351049,
     "end_time": "2021-04-14T22:24:29.933988",
     "exception": false,
     "start_time": "2021-04-14T22:24:29.582939",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# SIMPLE AVERAGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:24:30.647589Z",
     "iopub.status.busy": "2021-04-14T22:24:30.646774Z",
     "iopub.status.idle": "2021-04-14T22:24:34.069267Z",
     "shell.execute_reply": "2021-04-14T22:24:34.068774Z"
    },
    "papermill": {
     "duration": 3.780104,
     "end_time": "2021-04-14T22:24:34.069373",
     "exception": false,
     "start_time": "2021-04-14T22:24:30.289269",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "### GET PRETRAINED MODELS ###\n",
    "\n",
    "vgg16, vgg19, resnet = import_base_model(SHAPE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:24:34.832804Z",
     "iopub.status.busy": "2021-04-14T22:24:34.828572Z",
     "iopub.status.idle": "2021-04-14T22:41:10.605102Z",
     "shell.execute_reply": "2021-04-14T22:41:10.605535Z"
    },
    "papermill": {
     "duration": 996.181311,
     "end_time": "2021-04-14T22:41:10.605688",
     "exception": false,
     "start_time": "2021-04-14T22:24:34.424377",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "56/55 [==============================] - 37s 667ms/step - loss: 2.4407 - accuracy: 0.6210 - val_loss: 0.5574 - val_accuracy: 0.8201\n",
      "Epoch 2/50\n",
      "56/55 [==============================] - 35s 632ms/step - loss: 0.5838 - accuracy: 0.8150 - val_loss: 0.5557 - val_accuracy: 0.8384\n",
      "Epoch 3/50\n",
      "56/55 [==============================] - 36s 637ms/step - loss: 0.3661 - accuracy: 0.8807 - val_loss: 0.4796 - val_accuracy: 0.8750\n",
      "Epoch 4/50\n",
      "56/55 [==============================] - 36s 643ms/step - loss: 0.2737 - accuracy: 0.9123 - val_loss: 0.5218 - val_accuracy: 0.8506\n",
      "Epoch 5/50\n",
      "56/55 [==============================] - 36s 640ms/step - loss: 0.2003 - accuracy: 0.9367 - val_loss: 0.4729 - val_accuracy: 0.8811\n",
      "Epoch 6/50\n",
      "56/55 [==============================] - 36s 640ms/step - loss: 0.1430 - accuracy: 0.9502 - val_loss: 0.4815 - val_accuracy: 0.8750\n",
      "Epoch 7/50\n",
      "56/55 [==============================] - 36s 640ms/step - loss: 0.1333 - accuracy: 0.9581 - val_loss: 0.5447 - val_accuracy: 0.8902\n",
      "Epoch 8/50\n",
      "56/55 [==============================] - 36s 635ms/step - loss: 0.0872 - accuracy: 0.9745 - val_loss: 0.5220 - val_accuracy: 0.8902\n",
      "Epoch 9/50\n",
      "56/55 [==============================] - 36s 637ms/step - loss: 0.0959 - accuracy: 0.9678 - val_loss: 0.4925 - val_accuracy: 0.8933\n",
      "Epoch 10/50\n",
      "56/55 [==============================] - 36s 648ms/step - loss: 0.0898 - accuracy: 0.9683 - val_loss: 0.4040 - val_accuracy: 0.9177\n",
      "Epoch 11/50\n",
      "56/55 [==============================] - 35s 632ms/step - loss: 0.0965 - accuracy: 0.9762 - val_loss: 0.4531 - val_accuracy: 0.8933\n",
      "Epoch 12/50\n",
      "56/55 [==============================] - 35s 633ms/step - loss: 0.0716 - accuracy: 0.9802 - val_loss: 0.4738 - val_accuracy: 0.8933\n",
      "Epoch 13/50\n",
      "56/55 [==============================] - 36s 641ms/step - loss: 0.0558 - accuracy: 0.9813 - val_loss: 0.4615 - val_accuracy: 0.9146\n",
      "Epoch 14/50\n",
      "56/55 [==============================] - 35s 631ms/step - loss: 0.0756 - accuracy: 0.9751 - val_loss: 0.3685 - val_accuracy: 0.9116\n",
      "Epoch 15/50\n",
      "56/55 [==============================] - 36s 647ms/step - loss: 0.0535 - accuracy: 0.9836 - val_loss: 0.3671 - val_accuracy: 0.9299\n",
      "Epoch 16/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.0299 - accuracy: 0.9898 - val_loss: 0.3897 - val_accuracy: 0.9268\n",
      "Epoch 17/50\n",
      "56/55 [==============================] - 35s 630ms/step - loss: 0.0421 - accuracy: 0.9842 - val_loss: 0.4862 - val_accuracy: 0.8963\n",
      "Epoch 18/50\n",
      "56/55 [==============================] - 35s 633ms/step - loss: 0.0819 - accuracy: 0.9745 - val_loss: 0.4404 - val_accuracy: 0.9146\n",
      "Epoch 19/50\n",
      "56/55 [==============================] - 36s 640ms/step - loss: 0.0855 - accuracy: 0.9768 - val_loss: 0.8744 - val_accuracy: 0.8506\n",
      "Epoch 20/50\n",
      "56/55 [==============================] - 36s 642ms/step - loss: 0.0446 - accuracy: 0.9842 - val_loss: 0.3569 - val_accuracy: 0.9360\n",
      "Epoch 21/50\n",
      "56/55 [==============================] - 36s 635ms/step - loss: 0.0275 - accuracy: 0.9932 - val_loss: 0.4941 - val_accuracy: 0.9116\n",
      "Epoch 22/50\n",
      "56/55 [==============================] - 36s 639ms/step - loss: 0.0465 - accuracy: 0.9859 - val_loss: 0.5513 - val_accuracy: 0.8902\n",
      "Epoch 23/50\n",
      "56/55 [==============================] - 36s 635ms/step - loss: 0.0392 - accuracy: 0.9859 - val_loss: 0.4906 - val_accuracy: 0.9146\n",
      "Epoch 24/50\n",
      "56/55 [==============================] - 36s 646ms/step - loss: 0.0508 - accuracy: 0.9825 - val_loss: 0.5440 - val_accuracy: 0.8963\n",
      "Epoch 25/50\n",
      "56/55 [==============================] - 36s 650ms/step - loss: 0.0394 - accuracy: 0.9853 - val_loss: 0.4702 - val_accuracy: 0.9238\n",
      "Epoch 26/50\n",
      "56/55 [==============================] - 36s 647ms/step - loss: 0.0413 - accuracy: 0.9859 - val_loss: 0.4779 - val_accuracy: 0.9207\n",
      "Epoch 27/50\n",
      "56/55 [==============================] - ETA: 0s - loss: 0.0735 - accuracy: 0.9774Restoring model weights from the end of the best epoch.\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.0735 - accuracy: 0.9774 - val_loss: 0.7466 - val_accuracy: 0.8811\n",
      "Epoch 00027: early stopping\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x7fb7dd8d5190>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_seed(33)\n",
    "\n",
    "inp = Input((224,224,3))\n",
    "\n",
    "vgg_16_process = Lambda(process_vgg16)(inp)\n",
    "vgg_16 = vgg16(vgg_16_process)\n",
    "x_vgg_16 = GlobalMaxPool2D()(vgg_16)\n",
    "x_vgg_16 = Dense(128, activation='relu')(x_vgg_16)\n",
    "\n",
    "resnet_process = Lambda(process_resnet)(inp)\n",
    "res_net = resnet(resnet_process)\n",
    "x_resnet = GlobalMaxPool2D()(res_net)\n",
    "x_resnet = Dense(128, activation='relu')(x_resnet)\n",
    "\n",
    "vgg_19_process = Lambda(process_vgg19)(inp)\n",
    "vgg_19 = vgg19(vgg_19_process)\n",
    "x_vgg_19 = GlobalMaxPool2D()(vgg_19)\n",
    "x_vgg_19 = Dense(128, activation='relu')(x_vgg_19)\n",
    "\n",
    "x = Average()([x_vgg_16, x_resnet, x_vgg_19])\n",
    "out = Dense(6, activation='softmax')(x)\n",
    "\n",
    "model = Model(inp, out)\n",
    "model.compile(loss='categorical_crossentropy', optimizer=Nadam(lr=1e-4), metrics='accuracy')\n",
    "\n",
    "es = EarlyStopping(monitor='val_accuracy', mode='auto', restore_best_weights=True, verbose=1, patience=7)\n",
    "model.fit(train_generator, steps_per_epoch = train_generator.samples/train_generator.batch_size,\n",
    "          epochs=50, validation_data=validation_generator, validation_steps = validation_generator.samples/validation_generator.batch_size, \n",
    "          callbacks=[es], verbose = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:41:12.194999Z",
     "iopub.status.busy": "2021-04-14T22:41:12.193851Z",
     "iopub.status.idle": "2021-04-14T22:41:17.607798Z",
     "shell.execute_reply": "2021-04-14T22:41:17.607328Z"
    },
    "papermill": {
     "duration": 6.205699,
     "end_time": "2021-04-14T22:41:17.607948",
     "exception": false,
     "start_time": "2021-04-14T22:41:11.402249",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "pred_test = np.argmax(model.predict(test_generator), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:41:19.239026Z",
     "iopub.status.busy": "2021-04-14T22:41:19.238176Z",
     "iopub.status.idle": "2021-04-14T22:41:19.246393Z",
     "shell.execute_reply": "2021-04-14T22:41:19.246924Z"
    },
    "papermill": {
     "duration": 0.812351,
     "end_time": "2021-04-14T22:41:19.247040",
     "exception": false,
     "start_time": "2021-04-14T22:41:18.434689",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       metal       0.93      0.89      0.91        70\n",
      "       glass       0.97      0.88      0.92        82\n",
      "       paper       0.81      0.94      0.87        68\n",
      "       trash       0.90      0.89      0.89       108\n",
      "   cardboard       0.83      0.88      0.86        74\n",
      "     plastic       0.88      0.79      0.84        29\n",
      "\n",
      "    accuracy                           0.89       431\n",
      "   macro avg       0.89      0.88      0.88       431\n",
      "weighted avg       0.89      0.89      0.89       431\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(label_test, pred_test, target_names=labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:41:20.827205Z",
     "iopub.status.busy": "2021-04-14T22:41:20.826409Z",
     "iopub.status.idle": "2021-04-14T22:41:21.012866Z",
     "shell.execute_reply": "2021-04-14T22:41:21.013289Z"
    },
    "papermill": {
     "duration": 0.982105,
     "end_time": "2021-04-14T22:41:21.013418",
     "exception": false,
     "start_time": "2021-04-14T22:41:20.031313",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnf_matrix = confusion_matrix(label_test, pred_test)\n",
    "\n",
    "plt.figure(figsize=(7,7))\n",
    "plot_confusion_matrix(cnf_matrix, classes=labels)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.789775,
     "end_time": "2021-04-14T22:41:22.606579",
     "exception": false,
     "start_time": "2021-04-14T22:41:21.816804",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# WEIGHTED AVERAGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:41:24.187857Z",
     "iopub.status.busy": "2021-04-14T22:41:24.186969Z",
     "iopub.status.idle": "2021-04-14T22:41:27.587692Z",
     "shell.execute_reply": "2021-04-14T22:41:27.587223Z"
    },
    "papermill": {
     "duration": 4.194646,
     "end_time": "2021-04-14T22:41:27.587795",
     "exception": false,
     "start_time": "2021-04-14T22:41:23.393149",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "### GET PRETRAINED MODELS ###\n",
    "\n",
    "vgg16, vgg19, resnet = import_base_model(SHAPE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:41:29.214450Z",
     "iopub.status.busy": "2021-04-14T22:41:29.212472Z",
     "iopub.status.idle": "2021-04-14T22:41:29.217701Z",
     "shell.execute_reply": "2021-04-14T22:41:29.217259Z"
    },
    "papermill": {
     "duration": 0.845205,
     "end_time": "2021-04-14T22:41:29.217795",
     "exception": false,
     "start_time": "2021-04-14T22:41:28.372590",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class LinearW(Layer):\n",
    "\n",
    "    def __init__(self):\n",
    "        super(LinearW, self).__init__()\n",
    "        \n",
    "    def build(self, input_shape):\n",
    "        \n",
    "        self.W = self.add_weight(\n",
    "                    shape=(1,1,len(input_shape)),\n",
    "                    initializer='uniform',\n",
    "                    dtype=tf.float32,\n",
    "                    trainable=True)\n",
    "        \n",
    "    def call(self, inputs):\n",
    "\n",
    "        # inputs is a list of tensor of shape [(n_batch, n_feat), ..., (n_batch, n_feat)]\n",
    "        # expand last dim of each input passed [(n_batch, n_feat, 1), ..., (n_batch, n_feat, 1)]\n",
    "        inputs = [tf.expand_dims(i, -1) for i in inputs]\n",
    "        inputs = Concatenate(axis=-1)(inputs) # (n_batch, n_feat, n_inputs)\n",
    "        weights = tf.nn.softmax(self.W, axis=-1) # (1,1,n_inputs)\n",
    "        # weights sum up to one on last dim\n",
    "\n",
    "        return tf.reduce_sum(weights*inputs, axis=-1) # (n_batch, n_feat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:41:30.835976Z",
     "iopub.status.busy": "2021-04-14T22:41:30.831767Z",
     "iopub.status.idle": "2021-04-14T22:56:55.864237Z",
     "shell.execute_reply": "2021-04-14T22:56:55.863718Z"
    },
    "papermill": {
     "duration": 925.860657,
     "end_time": "2021-04-14T22:56:55.864337",
     "exception": false,
     "start_time": "2021-04-14T22:41:30.003680",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "56/55 [==============================] - 37s 660ms/step - loss: 2.5170 - accuracy: 0.6001 - val_loss: 0.6551 - val_accuracy: 0.7805\n",
      "Epoch 2/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.6010 - accuracy: 0.8077 - val_loss: 0.6298 - val_accuracy: 0.8262\n",
      "Epoch 3/50\n",
      "56/55 [==============================] - 36s 636ms/step - loss: 0.3627 - accuracy: 0.8818 - val_loss: 0.5722 - val_accuracy: 0.8171\n",
      "Epoch 4/50\n",
      "56/55 [==============================] - 36s 644ms/step - loss: 0.2814 - accuracy: 0.9112 - val_loss: 0.4821 - val_accuracy: 0.8476\n",
      "Epoch 5/50\n",
      "56/55 [==============================] - 36s 645ms/step - loss: 0.2204 - accuracy: 0.9225 - val_loss: 0.5557 - val_accuracy: 0.8567\n",
      "Epoch 6/50\n",
      "56/55 [==============================] - 36s 635ms/step - loss: 0.1727 - accuracy: 0.9457 - val_loss: 0.5702 - val_accuracy: 0.8598\n",
      "Epoch 7/50\n",
      "56/55 [==============================] - 36s 636ms/step - loss: 0.1202 - accuracy: 0.9576 - val_loss: 0.4754 - val_accuracy: 0.8750\n",
      "Epoch 8/50\n",
      "56/55 [==============================] - 36s 643ms/step - loss: 0.0841 - accuracy: 0.9695 - val_loss: 0.5167 - val_accuracy: 0.8933\n",
      "Epoch 9/50\n",
      "56/55 [==============================] - 36s 634ms/step - loss: 0.0879 - accuracy: 0.9695 - val_loss: 0.4325 - val_accuracy: 0.8902\n",
      "Epoch 10/50\n",
      "56/55 [==============================] - 36s 641ms/step - loss: 0.0651 - accuracy: 0.9768 - val_loss: 0.4336 - val_accuracy: 0.9055\n",
      "Epoch 11/50\n",
      "56/55 [==============================] - 35s 632ms/step - loss: 0.0998 - accuracy: 0.9655 - val_loss: 0.4635 - val_accuracy: 0.8811\n",
      "Epoch 12/50\n",
      "56/55 [==============================] - 36s 651ms/step - loss: 0.0883 - accuracy: 0.9712 - val_loss: 0.4246 - val_accuracy: 0.8872\n",
      "Epoch 13/50\n",
      "56/55 [==============================] - 35s 632ms/step - loss: 0.0682 - accuracy: 0.9785 - val_loss: 0.5150 - val_accuracy: 0.8933\n",
      "Epoch 14/50\n",
      "56/55 [==============================] - 36s 642ms/step - loss: 0.0624 - accuracy: 0.9768 - val_loss: 0.4917 - val_accuracy: 0.9085\n",
      "Epoch 15/50\n",
      "56/55 [==============================] - 36s 646ms/step - loss: 0.0512 - accuracy: 0.9859 - val_loss: 0.5680 - val_accuracy: 0.8811\n",
      "Epoch 16/50\n",
      "56/55 [==============================] - 36s 645ms/step - loss: 0.0357 - accuracy: 0.9881 - val_loss: 0.4219 - val_accuracy: 0.9177\n",
      "Epoch 17/50\n",
      "56/55 [==============================] - 36s 636ms/step - loss: 0.0475 - accuracy: 0.9870 - val_loss: 0.5602 - val_accuracy: 0.8902\n",
      "Epoch 18/50\n",
      "56/55 [==============================] - 36s 646ms/step - loss: 0.0500 - accuracy: 0.9836 - val_loss: 0.3606 - val_accuracy: 0.9207\n",
      "Epoch 19/50\n",
      "56/55 [==============================] - 36s 647ms/step - loss: 0.0534 - accuracy: 0.9859 - val_loss: 0.4898 - val_accuracy: 0.8811\n",
      "Epoch 20/50\n",
      "56/55 [==============================] - 36s 641ms/step - loss: 0.0380 - accuracy: 0.9870 - val_loss: 0.4095 - val_accuracy: 0.8994\n",
      "Epoch 21/50\n",
      "56/55 [==============================] - 36s 638ms/step - loss: 0.0307 - accuracy: 0.9887 - val_loss: 0.4367 - val_accuracy: 0.9055\n",
      "Epoch 22/50\n",
      "56/55 [==============================] - 36s 640ms/step - loss: 0.0461 - accuracy: 0.9853 - val_loss: 0.4670 - val_accuracy: 0.9116\n",
      "Epoch 23/50\n",
      "56/55 [==============================] - 36s 643ms/step - loss: 0.0304 - accuracy: 0.9881 - val_loss: 0.4453 - val_accuracy: 0.9177\n",
      "Epoch 24/50\n",
      "56/55 [==============================] - 36s 649ms/step - loss: 0.0193 - accuracy: 0.9926 - val_loss: 0.4478 - val_accuracy: 0.9177\n",
      "Epoch 25/50\n",
      "56/55 [==============================] - ETA: 0s - loss: 0.0340 - accuracy: 0.9881Restoring model weights from the end of the best epoch.\n",
      "56/55 [==============================] - 36s 649ms/step - loss: 0.0340 - accuracy: 0.9881 - val_loss: 0.4345 - val_accuracy: 0.9024\n",
      "Epoch 00025: early stopping\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x7fb7e0438ad0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_seed(33)\n",
    "\n",
    "inp = Input((224,224,3))\n",
    "\n",
    "vgg_16_process = Lambda(process_vgg16)(inp)\n",
    "vgg_16 = vgg16(vgg_16_process)\n",
    "x_vgg_16 = GlobalMaxPool2D()(vgg_16)\n",
    "x_vgg_16 = Dense(128, activation='relu')(x_vgg_16)\n",
    "\n",
    "resnet_process = Lambda(process_resnet)(inp)\n",
    "res_net = resnet(resnet_process)\n",
    "x_resnet = GlobalMaxPool2D()(res_net)\n",
    "x_resnet = Dense(128, activation='relu')(x_resnet)\n",
    "\n",
    "vgg_19_process = Lambda(process_vgg19)(inp)\n",
    "vgg_19 = vgg19(vgg_19_process)\n",
    "x_vgg_19 = GlobalMaxPool2D()(vgg_19)\n",
    "x_vgg_19 = Dense(128, activation='relu')(x_vgg_19)\n",
    "\n",
    "x = LinearW()([x_vgg_16, x_resnet, x_vgg_19])\n",
    "out = Dense(6, activation='softmax')(x)\n",
    "\n",
    "model = Model(inp, out)\n",
    "model.compile(loss='categorical_crossentropy', optimizer=Nadam(lr=1e-4), metrics='accuracy')\n",
    "\n",
    "es = EarlyStopping(monitor='val_accuracy', mode='auto', restore_best_weights=True, verbose=1, patience=7)\n",
    "model.fit(train_generator, steps_per_epoch = train_generator.samples/train_generator.batch_size,\n",
    "          epochs=50, validation_data=validation_generator, validation_steps = validation_generator.samples/validation_generator.batch_size, \n",
    "          callbacks=[es], verbose = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:56:58.239671Z",
     "iopub.status.busy": "2021-04-14T22:56:58.239135Z",
     "iopub.status.idle": "2021-04-14T22:56:58.435740Z",
     "shell.execute_reply": "2021-04-14T22:56:58.435290Z"
    },
    "papermill": {
     "duration": 1.390599,
     "end_time": "2021-04-14T22:56:58.435849",
     "exception": false,
     "start_time": "2021-04-14T22:56:57.045250",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[0.34190792, 0.32223913, 0.335853  ]]], dtype=float32)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### RETRIVE LINEAR WEIGHTS ###\n",
    "\n",
    "tf.nn.softmax(model.get_weights()[-3]).numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:57:01.049160Z",
     "iopub.status.busy": "2021-04-14T22:57:01.048194Z",
     "iopub.status.idle": "2021-04-14T22:57:05.255981Z",
     "shell.execute_reply": "2021-04-14T22:57:05.254743Z"
    },
    "papermill": {
     "duration": 5.629523,
     "end_time": "2021-04-14T22:57:05.256111",
     "exception": false,
     "start_time": "2021-04-14T22:56:59.626588",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "pred_test = np.argmax(model.predict(test_generator), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:57:07.636595Z",
     "iopub.status.busy": "2021-04-14T22:57:07.635714Z",
     "iopub.status.idle": "2021-04-14T22:57:07.642229Z",
     "shell.execute_reply": "2021-04-14T22:57:07.641768Z"
    },
    "papermill": {
     "duration": 1.19806,
     "end_time": "2021-04-14T22:57:07.642325",
     "exception": false,
     "start_time": "2021-04-14T22:57:06.444265",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       metal       0.97      0.91      0.94        70\n",
      "       glass       0.94      0.82      0.88        82\n",
      "       paper       0.94      0.91      0.93        68\n",
      "       trash       0.87      0.97      0.92       108\n",
      "   cardboard       0.82      0.88      0.85        74\n",
      "     plastic       0.86      0.83      0.84        29\n",
      "\n",
      "    accuracy                           0.90       431\n",
      "   macro avg       0.90      0.89      0.89       431\n",
      "weighted avg       0.90      0.90      0.90       431\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(label_test, pred_test, target_names=labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-14T22:57:10.083944Z",
     "iopub.status.busy": "2021-04-14T22:57:10.082639Z",
     "iopub.status.idle": "2021-04-14T22:57:10.267798Z",
     "shell.execute_reply": "2021-04-14T22:57:10.268414Z"
    },
    "papermill": {
     "duration": 1.444715,
     "end_time": "2021-04-14T22:57:10.268556",
     "exception": false,
     "start_time": "2021-04-14T22:57:08.823841",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnf_matrix = confusion_matrix(label_test, pred_test)\n",
    "\n",
    "plt.figure(figsize=(7,7))\n",
    "plot_confusion_matrix(cnf_matrix, classes=labels)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "papermill": {
   "duration": 2762.247043,
   "end_time": "2021-04-14T22:57:13.369980",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2021-04-14T22:11:11.122937",
   "version": "2.1.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
